中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共6条,第1-6条 帮助

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Quickly forecasting the future state of urban sensors by the missing-data-tolerant deep learning approach 期刊论文  OAI收割
SUSTAINABLE CITIES AND SOCIETY, 2025, 卷号: 118, 页码: 106044
作者:  
Wang, Peixiao;  Zhang, Hengcai;  Cheng, Shifen;  Zhang, Tong;  Lu, Feng
  |  收藏  |  浏览/下载:7/0  |  提交时间:2025/02/24
U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal 期刊论文  OAI收割
GISCIENCE & REMOTE SENSING, 2024, 卷号: 61, 期号: 1, 页码: 19
作者:  
Zhang, Qian;  Liu, Xiangnan;  Peng, Tao;  Yang, Xiao;  Tang, Mengzhen
  |  收藏  |  浏览/下载:50/0  |  提交时间:2024/04/19
Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model 期刊论文  OAI收割
SPATIAL DATA AND INTELLIGENCE, SPATIALDI 2024, 2024, 卷号: 14619, 页码: 242-251
作者:  
Wang, Peixiao;  Zhang, Hengcai;  Lu, Feng
  |  收藏  |  浏览/下载:7/0  |  提交时间:2024/10/21
Filling the missing data gaps of daily MODIS AOD using spatiotemporal interpolation 期刊论文  OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 633, 页码: 677-683
作者:  
Yang, Jing;  Hu, Maogui
  |  收藏  |  浏览/下载:32/0  |  提交时间:2019/05/23
Filling the missing data gaps of daily MODIS AOD using spatiotemporal interpolation 期刊论文  OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 633, 页码: 677-683
作者:  
Yang, Jing;  Hu, Maogui
  |  收藏  |  浏览/下载:38/0  |  提交时间:2019/05/23
Filling the missing data gaps of daily MODIS AOD using spatiotemporal interpolation 期刊论文  OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 633, 页码: 677-683
作者:  
Yang, Jing;  Hu, Maogui
  |  收藏  |  浏览/下载:14/0  |  提交时间:2019/05/23